Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000004858944 | QH323.5 H32 1995 | Open Access Book | Book | Searching... |
On Order
Summary
Summary
This illustrated textbook for biologists provides a refreshingly clear and authoritative introduction to the key ideas of sampling, experimental design, and statistical analysis. The author presents statistical concepts through common sense, non-mathematical explanations and diagrams. These are followed by the relevant formulae and illustrated by worked examples. The examples are drawn from all areas of biology, from biochemistry to ecology and from cell to animal biology. The book provides everything required in an introductory statistics course for biology undergraduates, and it is also useful for more specialized undergraduate courses in ecology, botany, and zoology.
Reviews 1
Choice Review
This book for biology students is an outgrowth of Heath's experience teaching experimental design and statistics to those students. The approach to statistics, he says, is similar to that for any other technique or piece of apparatus--as a tool to enable one to see the biology more clearly. It follows that the book contains many relatively simple examples from a wide range of areas in biology. The general approach that is used is to begin with a question, illustrate the ideas underlying the statistical analysis in a diagram, and then present the analysis using formulas. Numerical examples are always part of the discussion. The book is somewhat unusual in that it contains no exercises to work, because Heath reasons that providing such exercises tends to divorce the data collection from the data analysis rather than emphasize that statistical analyses to be used on a set of results are an integral part of the design and execution of an experiment. Topics covered include simple graphs; measures of location; variance; binomial, Poisson, and normal distributions; chi-square goodness-of-fit tests; contingency tables; one and two sample t-tests; correlation; one-way analysis of variance; and simple regression. Lower-division undergraduates; two-year technical program students. F. Giesbrecht North Carolina State University
Table of Contents
| Why Biologists Need Experimental Design and Statistics |
| Habitat Choice in Woodlice: Some Basic Ideas in Experimental Design and Statistics |
| Variables, Populations and Samples |
| Describing Samples |
| Variables and Models |
| Tests on a Single Sample: Do the Data Fit the Model? Single Samples: the Reliability of Estimates |
| Tests on a Single Sample: Association and Correlation Between Two Variables |
| Test Using Two Independent Samples: Are the Two Populations Different? Tests for Paired |
